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nyu-visionx
/
siglip2_decoder

Image-to-Image
Transformers
vit_mae
pretraining
Model card Files Files and versions
xet
Community
3

Instructions to use nyu-visionx/siglip2_decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nyu-visionx/siglip2_decoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-to-image", model="nyu-visionx/siglip2_decoder")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForPreTraining
    
    processor = AutoImageProcessor.from_pretrained("nyu-visionx/siglip2_decoder")
    model = AutoModelForPreTraining.from_pretrained("nyu-visionx/siglip2_decoder")
  • Notebooks
  • Google Colab
  • Kaggle
siglip2_decoder
1.66 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
bytetriper's picture
bytetriper
Update README.md
4a728df verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    1.7 kB
    Update README.md 3 months ago
  • config.json
    718 Bytes
    Upload config.json with huggingface_hub 4 months ago
  • model.pt

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    1.66 GB
    xet
    Upload model.pt with huggingface_hub 4 months ago